Predicting state transitions in the transcriptome and metabolome using a linear dynamical system model

BACKGROUND: Modelling of time series data should not be an approximation of input data profiles, but rather be able to detect and evaluate dynamical changes in the time series data. Objective criteria that can be used to evaluate dynamical changes in data are therefore important to filter experiment...

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Detalles Bibliográficos
Autores principales: Morioka, Ryoko, Kanaya, Shigehiko, Hirai, Masami Y, Yano, Mitsuru, Ogasawara, Naotake, Saito, Kazuki
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2080644/
https://www.ncbi.nlm.nih.gov/pubmed/17875221
http://dx.doi.org/10.1186/1471-2105-8-343

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2080644/
https://www.ncbi.nlm.nih.gov/pubmed/17875221
http://dx.doi.org/10.1186/1471-2105-8-343

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